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Deep Learning for Detection of Underwater Aircraft Wrecks from US Conflicts Cover

Deep Learning for Detection of Underwater Aircraft Wrecks from US Conflicts

Open Access
|May 2025

Authors

Leila Character

leilacharacter@shsu.edu

Sam Houston State University, Department of Environmental and Geosciences, Huntsville, TX; University of Delaware, School of Marine Science and Policy, Lewes, Delaware

Mark Moline

mmoline@udel.edu

University of Delaware, School of Marine Science and Policy, Lewes, Delaware

Matt W. Breece

mwbreece@udel.edu

University of Delaware, School of Marine Science and Policy, Lewes, Delaware; Saint Mary’s College of Maryland, Department of Marine Science, Saint Mary’s City, Maryland

Erik White

erik@udel.edu

University of Delaware, School of Marine Science and Policy, Lewes, Delaware

Dan Davis

dan.davis@luther.edu

Luther College, Department of History, Decorah, Iowa

Colin Colbourn

colinc@udel.edu

University of Delaware, School of Marine Science and Policy, Lewes, Delaware; Project Recover, Woodland, California
DOI: https://doi.org/10.5334/jcaa.179 | Journal eISSN: 2514-8362
Language: English
Submitted on: Aug 25, 2024
Accepted on: Mar 24, 2025
Published on: May 7, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Leila Character, Mark Moline, Matt W. Breece, Erik White, Dan Davis, Colin Colbourn, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.